Proposition 11.8.5. Consider a finite central skew field K over k. There exists a maximal subfield k \subset k' \subset K which is separable over k. In particular, every Brauer class has a finite separable spitting field.
Proof. Since every Brauer class is represented by a finite central skew field over k, we see that the second statement follows from the first by Lemma 11.8.3.
To prove the first statement, suppose that we are given a separable subfield k' \subset K. Then the centralizer K' of k' in K has center k', and the problem reduces to finding a maximal subfield of K' separable over k'. Thus it suffices to prove, if k \not= K, that we can find an element x \in K, x \not\in k which is separable over k. This statement is clear in characteristic zero. Hence we may assume that k has characteristic p > 0. If the ground field k is finite then, the result is clear as well (because extensions of finite fields are always separable). Thus we may assume that k is an infinite field of positive characteristic.
To get a contradiction assume no element of K is separable over k. By the discussion in Fields, Section 9.28 this means the minimal polynomial of any x \in K is of the form T^ q - a where q is a power of p and a \in k. Since it is clear that every element of K has a minimal polynomial of degree \leq \dim _ k(K) we conclude that there exists a fixed p-power q such that x^ q \in k for all x \in K.
Consider the map
and write it out in terms of a k-basis \{ a_1, \ldots , a_ n\} of K with a_1 = 1. So
Since multiplication on K is k-bilinear we see that each f_ i is a polynomial in x_1, \ldots , x_ n (details omitted). The choice of q above and the fact that k is infinite shows that f_ i is identically zero for i \geq 2. Hence we see that it remains zero on extending k to its algebraic closure \overline{k}. But the algebra K \otimes _ k \overline{k} is a matrix algebra (for example by Lemmas 11.4.9 and 11.5.3), which implies there are some elements whose qth power is not central (e.g., e_{11}). This is the desired contradiction. \square
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